Biplots and their application in multi-environment trials data analysis
| dc.contributor.advisor | Hooda, B.K. | |
| dc.contributor.author | Bhushan Kumar | |
| dc.date.accessioned | 2017-10-10T05:03:37Z | |
| dc.date.available | 2017-10-10T05:03:37Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The present study was intended towards the general principle of construction of biplots and their use in analysis of genotype versus environment interactions data. Various types of biplots have been described for wheat yield data from five locations of Haryana and six locations of North India. The software UB biplot was used for construction of different types of biplots in general while GGEbiplotGUI software was used for solving different purposes in analysis of G×E data which specially analyze GE data. Principal component analysis, Multidimensional scaling and Nonlinear biplots were constructed to highlight methodologies used in construction of biplots. In particular, genotype plus genotype × environment interaction biplots were constructed to solve many of problems faced by breeder and agricultural scientists which generally use PCA biplot. Though, scientists and breeder exploit GE data in a number of modes in their breeding programs. Six types of GGE biplots indicating similarities-dissimilarities among genotypes, relationships among environments, evaluation of test environments, mega-environment analysis, evaluation of genotypes and ranking of genotypes were constructed by analysis of GE data. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810032648 | |
| dc.keywords | Biplots, Principal component analysis, Multi -dimensional scaling, Singular value decomposition, Ggenotype × Environment | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | CCSHAU | en_US |
| dc.sub | Statistics | en_US |
| dc.subject | null | en_US |
| dc.theme | Biplots and their application in multi-environment trials data analysis | en_US |
| dc.these.type | M.Sc | en_US |
| dc.title | Biplots and their application in multi-environment trials data analysis | en_US |
| dc.type | Thesis | en_US |